1 00:00:00,120 --> 00:00:03,600 Speaker 1: And it had a fun name or an interesting name. 2 00:00:04,000 --> 00:00:06,480 Speaker 1: It is the Kendall and Casey Show. My name is Casey. 3 00:00:06,559 --> 00:00:09,520 Speaker 1: Jim is in for Rob Who's got the day off today? 4 00:00:10,280 --> 00:00:15,720 Speaker 1: Enjoying some ryder cup action Today. I'm talking about Operation Guardian. 5 00:00:16,320 --> 00:00:20,680 Speaker 1: This was a crackdown by the IMPD. They announced that 6 00:00:20,720 --> 00:00:24,279 Speaker 1: they had arrested one hundred and sixteen people in a 7 00:00:24,520 --> 00:00:31,120 Speaker 1: major multi agency apprehension effort. They described it as Indianapolis's 8 00:00:31,320 --> 00:00:36,400 Speaker 1: largest ever operation of its kind. They focused on suspects 9 00:00:36,400 --> 00:00:41,080 Speaker 1: with violent felony warrants, not those with minor offenses like 10 00:00:41,159 --> 00:00:45,280 Speaker 1: public intox or suspended licenses. And one of the things 11 00:00:45,280 --> 00:00:50,000 Speaker 1: that they announced was that six arrests were for murder 12 00:00:50,080 --> 00:00:53,519 Speaker 1: were made during this operation, and there were a lot 13 00:00:53,600 --> 00:00:59,080 Speaker 1: of different agencies involved. IMPD Chief Chris Bailey, he said 14 00:00:59,080 --> 00:01:01,720 Speaker 1: that it was a collaborative effort. 15 00:01:02,400 --> 00:01:05,280 Speaker 2: City work together with our federal partners. We can't do 16 00:01:05,360 --> 00:01:09,640 Speaker 2: this alone. Everyone knows our staffing situation, but when you 17 00:01:09,760 --> 00:01:13,680 Speaker 2: take an expertise of the war with the US Marshals 18 00:01:13,760 --> 00:01:15,920 Speaker 2: or the Marion County Sheriff's Office who every single day 19 00:01:16,800 --> 00:01:20,600 Speaker 2: do this work of which is insurmountable work in our 20 00:01:20,640 --> 00:01:23,200 Speaker 2: county there's thirty thousand plus warrants in our counties. 21 00:01:23,319 --> 00:01:24,600 Speaker 3: Planning work for everybody to do. 22 00:01:25,160 --> 00:01:27,200 Speaker 2: But when we focus our efforts and work together to 23 00:01:27,280 --> 00:01:31,520 Speaker 2: keep our community safe, I think that we see the 24 00:01:31,560 --> 00:01:32,319 Speaker 2: benefits of that. 25 00:01:33,280 --> 00:01:36,279 Speaker 1: So you had the IMPD, the Marion County Sheriff's Office, 26 00:01:36,319 --> 00:01:40,800 Speaker 1: the Indiana State Police, also some federal partners, Homeland Security, 27 00:01:41,000 --> 00:01:45,000 Speaker 1: US marshals ATFDA, FBI. What did they say? They say 28 00:01:45,040 --> 00:01:49,160 Speaker 1: they've got some narcotics, cash, and over two dozen firearms 29 00:01:49,200 --> 00:01:51,480 Speaker 1: they sees. At least twenty new cases were filed with 30 00:01:51,520 --> 00:01:56,240 Speaker 1: the Marion County Prosecutor's Office. I thought the most surprising 31 00:01:56,360 --> 00:02:00,360 Speaker 1: thing about that announcement was that Chief Bailey noted that 32 00:02:00,480 --> 00:02:05,680 Speaker 1: they had thirty thousand plus outstanding warrants in Marion County. 33 00:02:05,800 --> 00:02:08,080 Speaker 3: Seems like a big number. That seems high. If you 34 00:02:08,120 --> 00:02:08,919 Speaker 3: had asked me, Hey. 35 00:02:08,760 --> 00:02:11,480 Speaker 4: How many outstanding arrest warrants do you think are in 36 00:02:11,520 --> 00:02:14,520 Speaker 4: place in Marion County right now? I can guarantee you 37 00:02:14,560 --> 00:02:17,320 Speaker 4: my guess would be nowhere near thirty thousand. But I 38 00:02:17,360 --> 00:02:19,040 Speaker 4: love this store. I love everything about it. 39 00:02:19,080 --> 00:02:19,360 Speaker 3: You know, we. 40 00:02:19,960 --> 00:02:23,239 Speaker 4: Back the blue, support our men and women and law enforcement. 41 00:02:23,560 --> 00:02:25,720 Speaker 4: Rick Snyder, head of the FOP, friend of the show, 42 00:02:25,800 --> 00:02:27,760 Speaker 4: friend of the station on all the time. This is 43 00:02:27,840 --> 00:02:31,000 Speaker 4: a big win. This is what we want cops to 44 00:02:31,080 --> 00:02:31,520 Speaker 4: be doing. 45 00:02:31,880 --> 00:02:32,600 Speaker 3: Rounded up the. 46 00:02:32,600 --> 00:02:35,680 Speaker 4: Bad guys, one hundred and sixteen of them, six murderers 47 00:02:35,760 --> 00:02:40,799 Speaker 4: or people that have alleged murders, six warrants for murder. 48 00:02:40,960 --> 00:02:44,040 Speaker 4: But this is what This is a big win. I 49 00:02:44,080 --> 00:02:46,160 Speaker 4: love the fact that all the different agencies were involved, 50 00:02:46,160 --> 00:02:48,920 Speaker 4: whether it's the Indiana State Police, the County Sheriff's, IMPD, 51 00:02:49,360 --> 00:02:53,240 Speaker 4: federal agencies like DEA and ATF. This is a huge 52 00:02:53,320 --> 00:02:56,919 Speaker 4: win and should be celebrated. I love the cops going 53 00:02:56,919 --> 00:02:58,400 Speaker 4: out and rounding up a bunch of bad guys and 54 00:02:58,440 --> 00:02:59,280 Speaker 4: taking them off the street. 55 00:02:59,639 --> 00:03:02,840 Speaker 1: High lovel of communication that has to happen between all 56 00:03:02,880 --> 00:03:08,640 Speaker 1: of those agencies to make something like that work. Operation Guardian, 57 00:03:09,400 --> 00:03:09,840 Speaker 1: I love it. 58 00:03:09,880 --> 00:03:12,320 Speaker 4: I love a good operation too. You see it in 59 00:03:12,440 --> 00:03:14,920 Speaker 4: military all the time. Of course, you know. Famously D 60 00:03:15,040 --> 00:03:18,880 Speaker 4: Day Invasion was Operation Overlord. When we you know, Trump 61 00:03:19,000 --> 00:03:23,840 Speaker 4: ordered to strike strike Iran recently, that was Operation Midnight Hammer. 62 00:03:23,919 --> 00:03:26,359 Speaker 3: They always have such great names. Operation Guardian. 63 00:03:26,560 --> 00:03:28,520 Speaker 4: Love it, round it up the bad guys, taking them 64 00:03:28,520 --> 00:03:29,160 Speaker 4: off the streets. 65 00:03:29,240 --> 00:03:32,800 Speaker 1: IMPD currently short about three hundred officers. They're actively seeking 66 00:03:32,840 --> 00:03:36,680 Speaker 1: new recruits. They have announced join IMPD Week. It's a 67 00:03:36,720 --> 00:03:41,400 Speaker 1: seven day outreach program. And you know, there's a functional 68 00:03:41,400 --> 00:03:44,880 Speaker 1: fitness test that is part of this where you can 69 00:03:45,600 --> 00:03:48,800 Speaker 1: simulate real police work and it begins with viewing a 70 00:03:48,840 --> 00:03:51,360 Speaker 1: photo of a suspect and then you also have to 71 00:03:51,360 --> 00:03:54,520 Speaker 1: do this obstacle course while you wear a weighted vest. 72 00:03:55,080 --> 00:04:00,480 Speaker 1: It includes kettlebell sprints, crawling under bars, vaulting walls, ragging 73 00:04:01,320 --> 00:04:05,320 Speaker 1: one hundred and eighty pounds and it's all designed to 74 00:04:05,440 --> 00:04:09,320 Speaker 1: test physical endurance and also mental sharpness. 75 00:04:09,720 --> 00:04:11,840 Speaker 4: Yeah, I'm an old man. There's no way I would 76 00:04:12,000 --> 00:04:14,720 Speaker 4: come near passing that test. I'm so out of shape 77 00:04:14,800 --> 00:04:16,760 Speaker 4: right now. So God bless the men and women in 78 00:04:17,360 --> 00:04:20,719 Speaker 4: uniform that are out there doing that. And I just 79 00:04:20,880 --> 00:04:22,279 Speaker 4: I love everything about the story. 80 00:04:22,360 --> 00:04:25,680 Speaker 1: Zionsville PD. They just launched a new drone program. They 81 00:04:25,720 --> 00:04:29,080 Speaker 1: say this is to support officer safety and crime prevention 82 00:04:29,440 --> 00:04:33,200 Speaker 1: as the community grows. Drones were at it a few 83 00:04:33,200 --> 00:04:37,039 Speaker 1: months ago and now the officers are being trained on this. 84 00:04:37,480 --> 00:04:40,800 Speaker 1: They have to be FAA certified to operate them. That's 85 00:04:40,839 --> 00:04:44,000 Speaker 1: the case with most larger drones that aren't the smaller 86 00:04:44,120 --> 00:04:49,240 Speaker 1: personal use ones. So the department's first certified drone pilots. 87 00:04:49,800 --> 00:04:54,760 Speaker 1: They're currently actively using the technology. How do you feel 88 00:04:54,760 --> 00:04:57,000 Speaker 1: about the drone in police work? 89 00:04:57,320 --> 00:04:59,640 Speaker 4: You know, like I talked about, I'm all in favor 90 00:04:59,680 --> 00:05:02,080 Speaker 4: of get and law enforcement every single tool that they need, 91 00:05:02,760 --> 00:05:04,440 Speaker 4: you know, to go out there and catch the bad 92 00:05:04,440 --> 00:05:06,440 Speaker 4: guys and round them up. I do worry about the 93 00:05:06,480 --> 00:05:09,120 Speaker 4: constant surveillance state that we're building in this country. You know, 94 00:05:09,160 --> 00:05:13,040 Speaker 4: we've got obviously this story about Zionsville PDEE using drones, 95 00:05:13,040 --> 00:05:14,760 Speaker 4: and there are plenty of other police departments out there 96 00:05:14,839 --> 00:05:19,400 Speaker 4: using drones. We've got these al prs set up. All 97 00:05:19,640 --> 00:05:22,080 Speaker 4: those are the license plate readers that are popped up 98 00:05:22,120 --> 00:05:24,560 Speaker 4: all over town that you know, whether you're just out 99 00:05:24,600 --> 00:05:26,520 Speaker 4: driving to the grocery store or you're out you know, 100 00:05:26,600 --> 00:05:29,479 Speaker 4: cause and mischief, your data is getting recorded. 101 00:05:29,480 --> 00:05:31,560 Speaker 3: And that's another thing that you know hasn't been talked about. 102 00:05:31,800 --> 00:05:34,320 Speaker 4: You know, you guys talked about brawn and potential new 103 00:05:34,320 --> 00:05:36,200 Speaker 4: toll roads coming to the state, and that's no good. 104 00:05:36,320 --> 00:05:38,279 Speaker 4: Nobody wants to be paying and driving on the road. 105 00:05:38,760 --> 00:05:40,960 Speaker 4: But the other aspect of that is how much data 106 00:05:41,400 --> 00:05:44,960 Speaker 4: toll roads grab on everybody. Everybody's got that little transponder 107 00:05:45,000 --> 00:05:47,800 Speaker 4: in their windshield in their car. All that data gets 108 00:05:47,880 --> 00:05:49,599 Speaker 4: leaked out there and a lot of times sold to 109 00:05:49,600 --> 00:05:54,200 Speaker 4: other third parties. So I'm kind of mixed on police 110 00:05:54,279 --> 00:05:57,039 Speaker 4: use of drones because it's just another it's just ratcheting 111 00:05:57,160 --> 00:05:59,760 Speaker 4: up that that surveillance state that's just getting worse and 112 00:05:59,800 --> 00:06:00,720 Speaker 4: war for all of us. 113 00:06:00,760 --> 00:06:02,159 Speaker 1: Well, they say the goal is to have at least 114 00:06:02,160 --> 00:06:06,400 Speaker 1: one certified drone pilot per shift, and they emphasize that 115 00:06:06,400 --> 00:06:09,520 Speaker 1: they're not trying to spy on you. This is purely 116 00:06:09,720 --> 00:06:15,599 Speaker 1: for safety reasons. Okay. Donald Trump, he signed an executive 117 00:06:15,720 --> 00:06:19,640 Speaker 1: order approving a deal to keep TikTok operating in the US. 118 00:06:19,720 --> 00:06:22,640 Speaker 1: He said the deal meets the requirements of a national 119 00:06:22,680 --> 00:06:30,679 Speaker 1: security law mandating that Bite Dance divest TikTok's US operations. Okay, 120 00:06:31,080 --> 00:06:36,560 Speaker 1: it's the TikTok conversation. It's here to stay a while. Ago, everybody, Oh, 121 00:06:36,600 --> 00:06:39,520 Speaker 1: don't get on TikTok. China's going to have all your information. Okay, Well, 122 00:06:39,560 --> 00:06:42,920 Speaker 1: now we got the American version, right, will it change? 123 00:06:43,279 --> 00:06:45,919 Speaker 1: TikTok jd Vance came out and said, what it's a 124 00:06:45,960 --> 00:06:48,760 Speaker 1: fourteen billion dollar endeavor. 125 00:06:50,360 --> 00:06:54,600 Speaker 4: I'm only slightly less concerned with the United States federal 126 00:06:54,640 --> 00:06:57,680 Speaker 4: government having all of my information than I am China 127 00:06:57,760 --> 00:07:00,440 Speaker 4: having all of my information. Okay, step in the right direction. 128 00:07:00,920 --> 00:07:04,320 Speaker 4: Still not the greatest thing in the world. But this 129 00:07:04,360 --> 00:07:06,719 Speaker 4: is a big deal. And I know TikTok people laugh 130 00:07:06,760 --> 00:07:09,159 Speaker 4: at it. People laugh at it, they make fun of it. 131 00:07:08,640 --> 00:07:12,360 Speaker 4: It's a joke. It's kids doing dances. It's silly, it's nonsense. 132 00:07:12,400 --> 00:07:14,160 Speaker 4: And yeah, you can think that all you want to, 133 00:07:14,280 --> 00:07:15,880 Speaker 4: but the fact of the matter is it is the 134 00:07:16,040 --> 00:07:21,000 Speaker 4: fastest growing media outlet in the history of mankind. I 135 00:07:21,000 --> 00:07:24,480 Speaker 4: mean just came on right before COVID Out of Nowhere exploded. 136 00:07:24,560 --> 00:07:29,320 Speaker 4: During COVID one hundred and seventy million monthly American users, 137 00:07:29,360 --> 00:07:32,600 Speaker 4: over half of every single person in this country uses 138 00:07:32,640 --> 00:07:35,640 Speaker 4: TikTok every single month. It is a force to be 139 00:07:35,720 --> 00:07:38,720 Speaker 4: reckoned with. And so it's it's a big deal, and 140 00:07:38,760 --> 00:07:40,840 Speaker 4: how we manage it is a big deal. And I 141 00:07:40,880 --> 00:07:43,360 Speaker 4: think this is a step in the right direction. But 142 00:07:43,600 --> 00:07:47,080 Speaker 4: let's be honest, it's just going to be another government, 143 00:07:47,160 --> 00:07:49,680 Speaker 4: not the Chinese government, but likely our own government that's 144 00:07:49,680 --> 00:07:51,800 Speaker 4: going to be getting all of our data from TikTok. 145 00:07:51,840 --> 00:07:54,200 Speaker 1: Trump said, it's owned by Americans. This is going to 146 00:07:54,280 --> 00:07:58,120 Speaker 1: be American operated all the way. Here he is signing 147 00:07:58,200 --> 00:07:59,320 Speaker 1: that executive order. 148 00:08:00,400 --> 00:08:02,800 Speaker 5: Ex ser we have an executive order on TikTok. From 149 00:08:02,840 --> 00:08:05,560 Speaker 5: the first days of your administration. You've charged the team 150 00:08:05,880 --> 00:08:09,760 Speaker 5: from your administration, led by Vice President Vance, with ensuring 151 00:08:09,800 --> 00:08:12,680 Speaker 5: that we can preserve TikTok as a platform for one 152 00:08:12,760 --> 00:08:15,720 Speaker 5: hundred and seventy million Americans who use it, while ensuring 153 00:08:15,720 --> 00:08:18,640 Speaker 5: that their data is properly protected as required by law. 154 00:08:18,960 --> 00:08:22,679 Speaker 5: With this executive order, you will be effectively bringing into 155 00:08:22,720 --> 00:08:26,080 Speaker 5: effect the agreement that will save TikTok and ensure that 156 00:08:26,120 --> 00:08:27,880 Speaker 5: it can operate safely and securely. 157 00:08:28,800 --> 00:08:32,920 Speaker 6: So this is interesting because I had a very good 158 00:08:32,960 --> 00:08:36,360 Speaker 6: talk with President she letter respect for him, hopefully his 159 00:08:36,679 --> 00:08:38,959 Speaker 6: letter respect for me too, And. 160 00:08:39,440 --> 00:08:41,559 Speaker 3: We talked about TikTok and other things. 161 00:08:41,600 --> 00:08:44,200 Speaker 6: But we talked about TikTok and he gave us to 162 00:08:44,240 --> 00:08:44,720 Speaker 6: go ahead. 163 00:08:44,760 --> 00:08:46,800 Speaker 3: You know, it's run by American. 164 00:08:46,400 --> 00:08:51,200 Speaker 6: Investors and American companies, great ones, great investors, the biggest. 165 00:08:51,400 --> 00:08:52,760 Speaker 3: You don't get bigger. 166 00:08:52,480 --> 00:08:54,120 Speaker 6: I don't imagine. 167 00:08:54,160 --> 00:08:56,000 Speaker 4: And maybe I'll have JD. 168 00:08:56,280 --> 00:08:59,680 Speaker 6: JD was very much involved in charge of it, and 169 00:08:59,720 --> 00:09:01,760 Speaker 6: maybe I'll have you say a few words about the deal, 170 00:09:01,960 --> 00:09:06,000 Speaker 6: you would report back and the points of the deal 171 00:09:06,000 --> 00:09:07,560 Speaker 6: I think are great for our country. 172 00:09:08,679 --> 00:09:12,360 Speaker 1: So jd Vance stated that the deal values TikTok's US 173 00:09:12,400 --> 00:09:16,720 Speaker 1: business at fourteen billion. Some analysts have estimated TikTok could 174 00:09:16,800 --> 00:09:21,439 Speaker 1: be worth between thirty and thirty five billion. Of course, 175 00:09:21,480 --> 00:09:25,040 Speaker 1: you have Oracle CEO Larry Ellison now being part of 176 00:09:25,120 --> 00:09:30,200 Speaker 1: the ownership group. Also, some potential additional stakeholders include the 177 00:09:30,280 --> 00:09:34,280 Speaker 1: Murdocks also Michael Dell. It seems to me it's a 178 00:09:34,320 --> 00:09:37,920 Speaker 1: lot of rich guys owning the media right now. There's 179 00:09:37,960 --> 00:09:40,000 Speaker 1: a lot of different angles you could take with the 180 00:09:40,040 --> 00:09:41,199 Speaker 1: TikTok conversation. 181 00:09:41,800 --> 00:09:43,960 Speaker 4: Yeah, So Larry Ellison being part of this is really 182 00:09:43,960 --> 00:09:49,720 Speaker 4: interesting because Larry ellis Larry Ellison. His company Skydance just 183 00:09:49,840 --> 00:09:53,480 Speaker 4: merged with Viacom, and so Larry Ellison is eventually effectively 184 00:09:53,520 --> 00:09:58,280 Speaker 4: taking over CBS as well, and so and CBS's news 185 00:09:58,320 --> 00:10:03,000 Speaker 4: operations and also discussing merging with Warner Brothers, you know, 186 00:10:03,080 --> 00:10:07,559 Speaker 4: Time Warner. So Larry Ellison jumping in with both feet 187 00:10:07,679 --> 00:10:10,720 Speaker 4: into media ownership, adding TikTok ownership as part of this, 188 00:10:11,040 --> 00:10:13,439 Speaker 4: he all of a sudden has become a major player 189 00:10:13,760 --> 00:10:15,920 Speaker 4: in the American media landscape. 190 00:10:16,040 --> 00:10:19,240 Speaker 1: Okay, but we've got by the way, Brad Koppenstein is 191 00:10:19,280 --> 00:10:20,640 Speaker 1: going to join us here in a minute. We're going 192 00:10:20,679 --> 00:10:24,320 Speaker 1: to talk about Micultra being named as the number one 193 00:10:24,400 --> 00:10:26,920 Speaker 1: beer in the country. But before we get to him 194 00:10:26,960 --> 00:10:31,480 Speaker 1: and get to break the latest guy that has been 195 00:10:31,520 --> 00:10:33,360 Speaker 1: popping up on my TikTok feed. 196 00:10:33,520 --> 00:10:35,040 Speaker 3: Oh boy, is this dude? 197 00:10:35,200 --> 00:10:35,400 Speaker 7: Dude? 198 00:10:35,440 --> 00:10:37,520 Speaker 8: What is it about being to your thirties that like 199 00:10:37,840 --> 00:10:41,640 Speaker 8: doing nothing on a Friday night? Just rip, bro, My 200 00:10:41,720 --> 00:10:45,760 Speaker 8: girlfriend and I have zero plans tonight, zip zilch and 201 00:10:45,960 --> 00:10:49,080 Speaker 8: not Bro. We're gonna maybe have a little appointment on 202 00:10:49,080 --> 00:10:53,160 Speaker 8: the porch with a little beverage and then maybe some nachos. Dude, 203 00:10:53,160 --> 00:10:56,280 Speaker 8: we're usually busy little mes dude night and nothing is 204 00:10:56,400 --> 00:10:57,439 Speaker 8: rare in these parts. 205 00:10:57,640 --> 00:11:02,120 Speaker 3: It's gonna be high vaultage dude. I've voltage ohing tomorrow. 206 00:11:02,160 --> 00:11:03,120 Speaker 3: We're going to the Red Fair. 207 00:11:03,200 --> 00:11:03,440 Speaker 7: Dude. 208 00:11:03,480 --> 00:11:06,800 Speaker 4: He's gonna have not show what I love about that guy. 209 00:11:07,360 --> 00:11:10,960 Speaker 4: That is exactly one of my college roommates. From the 210 00:11:10,960 --> 00:11:14,080 Speaker 4: way he talks to he looked, the haircut, the way 211 00:11:14,120 --> 00:11:15,679 Speaker 4: he looks everything. 212 00:11:15,160 --> 00:11:17,439 Speaker 3: About I went to I was that was one of 213 00:11:17,440 --> 00:11:18,480 Speaker 3: my roommates in college. 214 00:11:18,559 --> 00:11:20,880 Speaker 1: Didn't you tell me how many people are getting their 215 00:11:20,960 --> 00:11:22,000 Speaker 1: news from TikTok. 216 00:11:22,160 --> 00:11:23,760 Speaker 3: It's twenty percent. That was a new survey. 217 00:11:23,800 --> 00:11:26,760 Speaker 4: Twenty percent of Americans get used TikTok as their primary 218 00:11:26,800 --> 00:11:27,240 Speaker 4: news source. 219 00:11:27,280 --> 00:11:28,160 Speaker 1: Now, just not from that. 220 00:11:28,920 --> 00:11:30,599 Speaker 4: While If I need to know about what's happening on 221 00:11:30,840 --> 00:11:33,960 Speaker 4: Friday night, if that's my news, it reds. 222 00:11:33,760 --> 00:11:35,920 Speaker 3: Hey man A couple of beverages on the porch and 223 00:11:35,920 --> 00:11:36,600 Speaker 3: some nachos. 224 00:11:36,679 --> 00:11:37,199 Speaker 1: That sounds good. 225 00:11:37,320 --> 00:11:39,160 Speaker 3: I mean, he sounds a little silly, but I'm right 226 00:11:39,160 --> 00:11:39,720 Speaker 3: there with him. 227 00:11:39,880 --> 00:11:41,800 Speaker 1: You're listening to The Kendall and Casey Show. It is 228 00:11:41,880 --> 00:11:45,160 Speaker 1: ninety three WIBC. Here's a big story that came out 229 00:11:45,200 --> 00:11:48,520 Speaker 1: of the beer world, and it was that michelob Ultra 230 00:11:48,880 --> 00:11:51,720 Speaker 1: is now the number one beer in the United States 231 00:11:51,720 --> 00:11:53,440 Speaker 1: of America. Did that news surprise you? 232 00:11:53,679 --> 00:11:55,720 Speaker 4: It did surprise me. And the first thing we did 233 00:11:55,840 --> 00:11:57,960 Speaker 4: was try to find a guy. Well, you know, we 234 00:11:58,040 --> 00:12:00,120 Speaker 4: always got a guy no matter what the topic is. 235 00:12:00,120 --> 00:12:03,160 Speaker 4: The Pendlan Casey Show has a guy, and we've got 236 00:12:03,160 --> 00:12:05,840 Speaker 4: a guy. Brad Koppenstein has worked in the beer industry 237 00:12:05,840 --> 00:12:08,520 Speaker 4: for decades and knows it better than anybody else. 238 00:12:08,559 --> 00:12:08,760 Speaker 3: I know. 239 00:12:09,000 --> 00:12:12,080 Speaker 1: Yeah, so let's get him on the WIBC hotline and 240 00:12:12,280 --> 00:12:16,360 Speaker 1: get his take on this. Brad, Mick Ultra now the 241 00:12:16,520 --> 00:12:19,360 Speaker 1: number one selling beer in the United States. 242 00:12:19,480 --> 00:12:24,040 Speaker 7: Your thoughts, Uh, it's interesting, it's inevitable. However, it's almost 243 00:12:24,120 --> 00:12:25,520 Speaker 7: kind of like a race to the bottom. 244 00:12:25,960 --> 00:12:27,920 Speaker 1: Oh interesting, why do you say that. 245 00:12:28,640 --> 00:12:31,679 Speaker 7: Well, beer sales are down overall about five percent I 246 00:12:31,760 --> 00:12:34,760 Speaker 7: think this year, and so it's not so much that 247 00:12:34,880 --> 00:12:38,920 Speaker 7: Mick Ultra is increasing drastically. It's that Medilo has really 248 00:12:38,920 --> 00:12:39,920 Speaker 7: started to fall off. 249 00:12:40,640 --> 00:12:44,679 Speaker 1: Okay, Now I saw in this report that it's not 250 00:12:44,880 --> 00:12:49,560 Speaker 1: by sales, it's by volume that Mick Ultra is number one. 251 00:12:50,480 --> 00:12:51,360 Speaker 3: That is correct. 252 00:12:51,440 --> 00:12:56,240 Speaker 7: So if you look out there so domestic beer, bud Light, 253 00:12:56,360 --> 00:12:58,520 Speaker 7: Miller Light, Core's Light, those are all going to run 254 00:12:58,600 --> 00:13:02,080 Speaker 7: you twenty to twenty five dollars case. Micultra is going 255 00:13:02,160 --> 00:13:04,160 Speaker 7: to be twenty five to thirty it's a little higher, 256 00:13:04,160 --> 00:13:06,320 Speaker 7: but Midello is going to come in more like thirty 257 00:13:06,360 --> 00:13:10,160 Speaker 7: five dollars a case. So just my pure dollar volume, 258 00:13:10,200 --> 00:13:12,680 Speaker 7: Medello still is the leader, just because if they have 259 00:13:12,720 --> 00:13:15,600 Speaker 7: a higher per case price. But if you're just looking 260 00:13:15,640 --> 00:13:18,400 Speaker 7: at pure barrels, it is now Mick Ultras. 261 00:13:19,040 --> 00:13:23,080 Speaker 4: So Brat, where does the entire beer industry stand And 262 00:13:23,120 --> 00:13:25,800 Speaker 4: I know you've got a strong background in this, but 263 00:13:25,800 --> 00:13:29,080 Speaker 4: from my perspective, you know, from about nineteen ninety to 264 00:13:29,160 --> 00:13:32,640 Speaker 4: about twenty twenty was probably like the greatest run for 265 00:13:32,679 --> 00:13:33,760 Speaker 4: the beer industry ever. 266 00:13:33,840 --> 00:13:34,600 Speaker 3: We had all these. 267 00:13:34,480 --> 00:13:38,000 Speaker 4: Micro breweries coming in and craft beer was big. But 268 00:13:38,200 --> 00:13:41,000 Speaker 4: now that run up seems to be over. Where do 269 00:13:41,080 --> 00:13:43,240 Speaker 4: you see the kind of overall state of the beer 270 00:13:43,280 --> 00:13:44,240 Speaker 4: industry right now? 271 00:13:44,920 --> 00:13:47,080 Speaker 7: It's trying to find its legs, and some of it 272 00:13:47,120 --> 00:13:49,640 Speaker 7: is there's just so many alternatives out there. You've got 273 00:13:50,400 --> 00:13:52,600 Speaker 7: all these selsers that are out there, you have things 274 00:13:52,640 --> 00:13:57,280 Speaker 7: like long drink It. Just the options for consumers are 275 00:13:57,360 --> 00:14:01,840 Speaker 7: huge now, Jim, to your point, per tapita, beer consumption 276 00:14:01,920 --> 00:14:06,360 Speaker 7: actually peaked in nineteen eighty. In nineteen eighty so it 277 00:14:06,400 --> 00:14:08,120 Speaker 7: was our parents they drank a lot. 278 00:14:08,320 --> 00:14:12,800 Speaker 4: Wow, Okay, that surprised me because, like like I said, 279 00:14:12,800 --> 00:14:14,360 Speaker 4: it seemed like, you know, in the nineties and early 280 00:14:14,400 --> 00:14:16,800 Speaker 4: two thousands, we had all these micro brews and craft 281 00:14:16,800 --> 00:14:19,960 Speaker 4: beers and everybody seemed to be talking about beer, but 282 00:14:20,000 --> 00:14:23,120 Speaker 4: beer consumption had already declined by that point. 283 00:14:23,080 --> 00:14:25,760 Speaker 7: Right, Just yeah, a per person, So in the nineties 284 00:14:25,760 --> 00:14:29,600 Speaker 7: and the early two thousands, the adage in the beer 285 00:14:29,640 --> 00:14:32,880 Speaker 7: business was that people were drinking less, but they were 286 00:14:32,960 --> 00:14:36,240 Speaker 7: drinking better. And so, you know, a lot of these 287 00:14:36,280 --> 00:14:38,120 Speaker 7: styles that had kind of gone away, you know, you 288 00:14:38,160 --> 00:14:42,120 Speaker 7: did through the eighties you never saw wheat beers. You know, 289 00:14:42,160 --> 00:14:44,960 Speaker 7: you would barely ever see October fests or bock beers. 290 00:14:45,080 --> 00:14:47,480 Speaker 7: And then you know, all the all the really rich styles, 291 00:14:47,560 --> 00:14:50,640 Speaker 7: the IPAs and things, they really started to make a comeback. 292 00:14:50,720 --> 00:14:54,080 Speaker 7: So dollars were still flowing into the industry. The craft 293 00:14:54,160 --> 00:14:56,960 Speaker 7: brewing industry was really starting to grow and carve at 294 00:14:57,000 --> 00:15:01,240 Speaker 7: its niche. But in recent years, people have been turning 295 00:15:01,280 --> 00:15:03,240 Speaker 7: a lot more to spirits. I know, Jim, you're kind 296 00:15:03,240 --> 00:15:06,240 Speaker 7: of a whiskey guy, I am, and yeah, and so 297 00:15:06,400 --> 00:15:08,680 Speaker 7: you know, people have kind of shifted the spirits. Some 298 00:15:08,800 --> 00:15:11,160 Speaker 7: of this was societal. I know, like back when I 299 00:15:11,240 --> 00:15:14,120 Speaker 7: was in college in the late eighties early nineties, it 300 00:15:14,240 --> 00:15:17,080 Speaker 7: was all about keg parties. Well, when they started cracking 301 00:15:17,080 --> 00:15:20,200 Speaker 7: down on keg parties on college campuses, then people shifted 302 00:15:20,240 --> 00:15:23,520 Speaker 7: to pregaming, pregaming with a handle of vodka or something. 303 00:15:23,560 --> 00:15:26,760 Speaker 7: And people's flavors, you know, their their preferences changed. 304 00:15:27,320 --> 00:15:29,640 Speaker 4: Yeah, you know, and I see a lot of reports 305 00:15:29,680 --> 00:15:32,880 Speaker 4: too about how gen Z overall drinking a lot less 306 00:15:32,920 --> 00:15:36,320 Speaker 4: alcohol in general, So that's affecting things. Where does the 307 00:15:36,360 --> 00:15:38,880 Speaker 4: beer industry kind of go from here? What do they 308 00:15:38,880 --> 00:15:41,080 Speaker 4: do to kind of turn this tide of this decline 309 00:15:41,080 --> 00:15:42,320 Speaker 4: that they've been in for decades. 310 00:15:43,520 --> 00:15:46,160 Speaker 7: That's a good question. I think you see just a 311 00:15:46,200 --> 00:15:50,320 Speaker 7: lot of them really starting to invest in the seltzer companies, 312 00:15:51,880 --> 00:15:54,640 Speaker 7: and they're you know, even like I'm sitting outside of 313 00:15:54,680 --> 00:15:58,120 Speaker 7: sen King right now, sun King is getting into spirits 314 00:15:58,120 --> 00:16:01,880 Speaker 7: and distilling, and I I think the firstification and you're 315 00:16:01,920 --> 00:16:04,240 Speaker 7: also seeing a blend of it used to be beer, 316 00:16:04,280 --> 00:16:07,400 Speaker 7: wine and spirits, Well now you're starting to see ready 317 00:16:07,440 --> 00:16:10,080 Speaker 7: to drink cocktails that sometimes are made with spirits, other 318 00:16:10,120 --> 00:16:13,920 Speaker 7: times are wine based, and you're really blurring the lines 319 00:16:13,960 --> 00:16:15,880 Speaker 7: of what the industry is and I think that's going 320 00:16:15,920 --> 00:16:20,720 Speaker 7: to continue. Consumer tastes have always been whatever flavor is 321 00:16:20,720 --> 00:16:23,360 Speaker 7: familiar to people, So like fiders really had a big run, 322 00:16:23,400 --> 00:16:26,120 Speaker 7: and it's because those when those people were kids, they 323 00:16:26,160 --> 00:16:28,720 Speaker 7: greg apple juice and now you're seeing the same thing. 324 00:16:29,320 --> 00:16:32,040 Speaker 1: Bret Kloppenstein is joining us. We're talking about the announcement 325 00:16:32,120 --> 00:16:36,680 Speaker 1: that michelob Ultra is now the best selling beer in 326 00:16:36,720 --> 00:16:40,840 Speaker 1: the country, just surpassing Medello. I'm curious about the data 327 00:16:40,880 --> 00:16:43,920 Speaker 1: that they used. Of course they define this unit sold 328 00:16:44,000 --> 00:16:47,440 Speaker 1: versus revenue. So Brett, how do you think the michelob 329 00:16:47,560 --> 00:16:51,480 Speaker 1: Ultra aligns with like current consumer trends like the health 330 00:16:51,600 --> 00:16:55,560 Speaker 1: consciousness or active lifestyles. Do you think that contributes to 331 00:16:55,640 --> 00:16:56,160 Speaker 1: it at all? 332 00:16:56,920 --> 00:17:00,160 Speaker 7: Oh? It does? I mean it. If you remember the 333 00:17:00,160 --> 00:17:01,800 Speaker 7: there used to be a knock on what they called 334 00:17:01,880 --> 00:17:03,880 Speaker 7: three two beer, so like in a lot of states, 335 00:17:03,880 --> 00:17:06,560 Speaker 7: Ohio was one. I think Minnesota might still have it 336 00:17:07,000 --> 00:17:10,080 Speaker 7: where you could only buy beer on certain days or 337 00:17:10,080 --> 00:17:13,119 Speaker 7: certain ages that is three point two percent alcohol or less. 338 00:17:13,440 --> 00:17:17,240 Speaker 7: Mickelo Ultra is a three point two percent beer, so 339 00:17:17,440 --> 00:17:21,600 Speaker 7: you know, the alcohol content is going down and consumers 340 00:17:21,640 --> 00:17:25,000 Speaker 7: are a lot more health conscious and as you mentioned, 341 00:17:25,040 --> 00:17:27,359 Speaker 7: the non alcoholic beers are really starting to have a 342 00:17:27,400 --> 00:17:27,840 Speaker 7: good run. 343 00:17:28,160 --> 00:17:30,200 Speaker 1: How much do you think the bud Light boycott and 344 00:17:30,280 --> 00:17:34,119 Speaker 1: their sales drop contributed to Micultra going to the top. 345 00:17:35,240 --> 00:17:38,400 Speaker 7: It certainly contributed to it. I find it funny they're 346 00:17:38,440 --> 00:17:44,960 Speaker 7: the same company, right they Yeah. Last night I heard 347 00:17:45,000 --> 00:17:47,919 Speaker 7: Hammer saying on his show that he went to a 348 00:17:47,920 --> 00:17:49,439 Speaker 7: ball game and he had the option of bud Light 349 00:17:49,520 --> 00:17:51,720 Speaker 7: or mcultra, and he chose the BC Ultra because he 350 00:17:51,720 --> 00:17:53,840 Speaker 7: wasn't going to drink bud Light. And like, you know, 351 00:17:53,960 --> 00:17:54,840 Speaker 7: it's the same people. 352 00:17:55,080 --> 00:17:58,639 Speaker 1: It's all anne Hauser Busch, it's just different packaging. 353 00:17:58,960 --> 00:18:02,920 Speaker 7: Yeah, exactly right. Yeah, there was a Simpsons episode where 354 00:18:02,920 --> 00:18:07,200 Speaker 7: they Homer went to the Duff Brewery and they had 355 00:18:07,560 --> 00:18:10,840 Speaker 7: one vat that was feeding three lines of Duff Dry 356 00:18:10,920 --> 00:18:15,399 Speaker 7: and Tough Light, especially the ad Hyder Bush. There's a 357 00:18:15,400 --> 00:18:17,320 Speaker 7: lot to that that. A lot of it is all 358 00:18:17,400 --> 00:18:19,000 Speaker 7: the same base, and that's a matter of how they 359 00:18:19,000 --> 00:18:19,400 Speaker 7: thin it. 360 00:18:19,320 --> 00:18:22,240 Speaker 4: Out more marketing than actually product differentiation. 361 00:18:22,480 --> 00:18:26,000 Speaker 7: Yeah, it is it really the beer business is really 362 00:18:26,040 --> 00:18:27,880 Speaker 7: born on marketing. I don't think there's a person out 363 00:18:27,920 --> 00:18:29,760 Speaker 7: there where they had the first sip of beer and said, man, 364 00:18:29,800 --> 00:18:31,159 Speaker 7: this is great. I'm gonna rink this the rest of 365 00:18:31,200 --> 00:18:34,600 Speaker 7: my life. It is kind of an acquired taste, so 366 00:18:34,840 --> 00:18:38,080 Speaker 7: given that people aren't just initially drawn to it. A 367 00:18:38,080 --> 00:18:40,800 Speaker 7: lot of it is marketing and imaging and what you 368 00:18:40,840 --> 00:18:42,000 Speaker 7: want to be associated with. 369 00:18:42,200 --> 00:18:45,280 Speaker 1: Do you do you know about any specific marketing campaigns 370 00:18:45,359 --> 00:18:48,320 Speaker 1: or sports partnerships that have helped Micultra. 371 00:18:49,520 --> 00:18:52,199 Speaker 7: Mick Culture went all in on like World Cup soccer, 372 00:18:52,600 --> 00:18:55,280 Speaker 7: and I know that has helped them a lot. 373 00:18:55,400 --> 00:18:59,080 Speaker 1: That's probably helped them globally more than in the United States. 374 00:18:58,680 --> 00:19:03,480 Speaker 7: Though it has. And you know, and so I know 375 00:19:03,560 --> 00:19:05,040 Speaker 7: a lot of products and they say this in a 376 00:19:05,080 --> 00:19:08,040 Speaker 7: beer business, a lot of brands will have a life 377 00:19:08,040 --> 00:19:11,320 Speaker 7: cycle that runs about thirty years, and you know, I 378 00:19:11,320 --> 00:19:13,200 Speaker 7: think Bud Light, Miller Light are kind of at the 379 00:19:13,280 --> 00:19:16,320 Speaker 7: end of their life cycle. Core's Light might be getting there, 380 00:19:16,480 --> 00:19:19,199 Speaker 7: whereas Mick Ultra, I still think of it as new, 381 00:19:19,240 --> 00:19:21,760 Speaker 7: but it's been under market now for probably twenty years, 382 00:19:22,720 --> 00:19:25,119 Speaker 7: and it's kind of it's having its day and there 383 00:19:25,160 --> 00:19:27,000 Speaker 7: will be something else that will come up behind it. 384 00:19:27,240 --> 00:19:29,640 Speaker 4: Well, if they invested that much in World Cup Soccer, 385 00:19:30,200 --> 00:19:33,160 Speaker 4: they'll probably see more start to reap those rewards next 386 00:19:33,240 --> 00:19:35,800 Speaker 4: year as the World Cup is coming to the United 387 00:19:35,800 --> 00:19:38,960 Speaker 4: States in twenty twenty six, and so that's probably more 388 00:19:38,960 --> 00:19:40,560 Speaker 4: of a long term play for Mick Ultra. 389 00:19:40,800 --> 00:19:43,720 Speaker 7: Yeah, oh, I'm sure it was. Yeah, you lock it 390 00:19:43,760 --> 00:19:46,320 Speaker 7: down early knowing that you're going to need it when 391 00:19:46,760 --> 00:19:49,399 Speaker 7: it comes to the United States. That's smart marketing, I mean, 392 00:19:49,600 --> 00:19:52,159 Speaker 7: and iSER Bush has really been the best in the 393 00:19:52,200 --> 00:19:55,840 Speaker 7: industry on locking down. They've done it with baseball football 394 00:19:56,400 --> 00:19:59,600 Speaker 7: getting into the stadiums, and you know, it's what really 395 00:19:59,680 --> 00:20:02,000 Speaker 7: launched them into being number one in the seventies and eighties. 396 00:20:02,080 --> 00:20:05,280 Speaker 1: Brett Kloppenstein is joining us. We're talking about Bear. Do 397 00:20:05,320 --> 00:20:08,600 Speaker 1: you think other brands like Medela or even bud Light 398 00:20:08,760 --> 00:20:10,240 Speaker 1: could regain the top spot? 399 00:20:11,480 --> 00:20:14,600 Speaker 7: Medella certainly could. Madela had a couple of things at play. 400 00:20:14,680 --> 00:20:18,280 Speaker 7: I think half of their consumers are actually Hispanic So 401 00:20:19,760 --> 00:20:23,480 Speaker 7: I think that the Hispanics just in general, are getting 402 00:20:23,480 --> 00:20:26,120 Speaker 7: together less to socialize out of you know, some beer 403 00:20:26,280 --> 00:20:30,159 Speaker 7: ice coming in, and I think that there's some of 404 00:20:30,200 --> 00:20:32,399 Speaker 7: those people that are just going back to Mexico or 405 00:20:32,400 --> 00:20:36,159 Speaker 7: wherever they were, so they are just by definition, drinking less. 406 00:20:36,960 --> 00:20:39,679 Speaker 7: I think the tariffs have not helped at all, just 407 00:20:39,760 --> 00:20:42,639 Speaker 7: because it's more expensive for them to bring Medello in 408 00:20:42,680 --> 00:20:45,679 Speaker 7: from Mexico now, so their price point is going to 409 00:20:45,680 --> 00:20:50,600 Speaker 7: continually go higher. Right, So, but I think it'll probably 410 00:20:50,640 --> 00:20:52,440 Speaker 7: settle in about where it is and stay this way 411 00:20:52,560 --> 00:20:53,800 Speaker 7: for at least a couple of years. 412 00:20:54,080 --> 00:20:56,080 Speaker 1: Okay, A couple last questions for you, What are you 413 00:20:56,160 --> 00:20:58,280 Speaker 1: doing at sun King What are you doing there? Are 414 00:20:58,320 --> 00:21:01,199 Speaker 1: you just like stalking them? Open the door? 415 00:21:02,680 --> 00:21:06,719 Speaker 7: Pretty much, is it every morning? No, Indianapolis Brewing Company 416 00:21:06,800 --> 00:21:10,119 Speaker 7: is a beer of theirs. That used to be my brain. 417 00:21:10,280 --> 00:21:12,600 Speaker 7: I own that logo and I sold that to him, 418 00:21:12,720 --> 00:21:15,880 Speaker 7: and part of my deal I get beer every once 419 00:21:15,920 --> 00:21:17,720 Speaker 7: in a while. And today happens to be that guy. 420 00:21:17,800 --> 00:21:19,680 Speaker 1: Ah, he's there to pick up his order. 421 00:21:19,800 --> 00:21:22,160 Speaker 3: Right, got the weekend coming up? Need some supplies? 422 00:21:22,400 --> 00:21:23,720 Speaker 7: Got? Yeah? Right now? 423 00:21:23,760 --> 00:21:26,560 Speaker 1: You mentioned you mentioned back in college. I know you're 424 00:21:26,560 --> 00:21:30,280 Speaker 1: a perdue grad. Were you doing keg stands in Lafayette 425 00:21:30,280 --> 00:21:30,760 Speaker 1: in your day? 426 00:21:31,880 --> 00:21:36,240 Speaker 7: I've done at least a couple. Now, let's see upside down. 427 00:21:36,280 --> 00:21:40,600 Speaker 7: Margarita's were a thing, and yeah, man, I missed those 428 00:21:40,640 --> 00:21:41,480 Speaker 7: day back in the day. 429 00:21:41,520 --> 00:21:44,480 Speaker 4: That's how you judged how much of a rager that 430 00:21:44,520 --> 00:21:47,160 Speaker 4: party was by the number of kegs. Oh you know what? 431 00:21:47,480 --> 00:21:50,600 Speaker 4: Seven keg party? Twenty five keg party? 432 00:21:50,680 --> 00:21:51,400 Speaker 3: Oh my god? 433 00:21:51,720 --> 00:21:54,560 Speaker 4: I mean that was the metric that was used to 434 00:21:54,640 --> 00:21:56,159 Speaker 4: talk about how great the party was. 435 00:21:56,880 --> 00:21:59,600 Speaker 7: Yep. Well, I remember the beer delivery truck coming down 436 00:21:59,640 --> 00:22:01,440 Speaker 7: the alley and there was like six fratern of these 437 00:22:01,960 --> 00:22:04,120 Speaker 7: three on each side of the alley, and we get 438 00:22:04,160 --> 00:22:06,760 Speaker 7: an announcement over our intercom sad, hey, we need like 439 00:22:06,800 --> 00:22:09,000 Speaker 7: six people with id's to come down here because we 440 00:22:09,000 --> 00:22:12,840 Speaker 7: can only get two kegs per ID. So that was 441 00:22:13,000 --> 00:22:16,320 Speaker 7: Friday afternoon all to get down here. 442 00:22:16,400 --> 00:22:16,719 Speaker 3: Uh huh. 443 00:22:16,760 --> 00:22:18,639 Speaker 1: And you're putting that degree to good use, are you. 444 00:22:19,240 --> 00:22:21,760 Speaker 7: Oh yeah, let's say run a chamber of commerce now. 445 00:22:21,760 --> 00:22:27,320 Speaker 1: Okay, perfect, Well, thank you very much for joining us. Brad, 446 00:22:27,400 --> 00:22:28,320 Speaker 1: have a great weekend. 447 00:22:28,680 --> 00:22:29,160 Speaker 7: Thanks guys. 448 00:22:29,200 --> 00:22:32,440 Speaker 1: Thanks, yeah, cheers. This is the Kendall and Casey Show. 449 00:22:32,440 --> 00:22:39,879 Speaker 1: It's ninety three WIBC. It's gonna be time perfect Kevin, 450 00:22:40,560 --> 00:22:43,760 Speaker 1: nice double housekeeping things for you. We did get the 451 00:22:43,920 --> 00:22:47,720 Speaker 1: cameras working on the YouTube feed. Yay. Typing Kennel and 452 00:22:47,800 --> 00:22:50,879 Speaker 1: Casey into the YouTube search bar, you'll see us. So hello, 453 00:22:51,320 --> 00:22:55,719 Speaker 1: thank you for watching. Also, we started out talking about 454 00:22:56,119 --> 00:22:58,520 Speaker 1: the Ryder Cup. That's one of the reasons that Rob 455 00:22:58,600 --> 00:23:01,639 Speaker 1: Kendall has the day off because he's at home glued 456 00:23:02,040 --> 00:23:04,800 Speaker 1: to the TV watching some golf. He texted you saying 457 00:23:04,840 --> 00:23:05,880 Speaker 1: that Michael Jordan is there. 458 00:23:05,920 --> 00:23:08,320 Speaker 3: Yeah, so Robed. We talked about the Ryder Cup earlier. 459 00:23:08,359 --> 00:23:10,600 Speaker 4: We talked about how I went all in on Rob's 460 00:23:10,600 --> 00:23:14,440 Speaker 4: bet Europe plus one seventy. Is he texting me updates 461 00:23:14,480 --> 00:23:17,400 Speaker 4: how the course is playing? No, he sends me one text, 462 00:23:17,640 --> 00:23:19,080 Speaker 4: Michael Jordan is at the Rider game. 463 00:23:19,119 --> 00:23:20,400 Speaker 3: He knows you're a huge he knows he. 464 00:23:20,359 --> 00:23:23,040 Speaker 4: Knows his audiences exactly that I'd be more concerned about 465 00:23:23,040 --> 00:23:23,719 Speaker 4: that than anything. 466 00:23:23,760 --> 00:23:26,639 Speaker 1: So yeah, So we touched on one of the college 467 00:23:26,640 --> 00:23:29,880 Speaker 1: football games this weekend. It's Penn State and Oregon, right, 468 00:23:30,000 --> 00:23:32,320 Speaker 1: oh yeah, so uh and Penn State is doing a 469 00:23:32,320 --> 00:23:33,000 Speaker 1: white out. 470 00:23:32,920 --> 00:23:35,520 Speaker 4: They are so or the big college football game this 471 00:23:35,560 --> 00:23:38,480 Speaker 4: weekend is number six, Oregon at number three, Penn State 472 00:23:38,560 --> 00:23:41,639 Speaker 4: seven thirty on NBC. I have confirmed it is a 473 00:23:41,680 --> 00:23:43,600 Speaker 4: whiteout game. And there was some people in the YouTube 474 00:23:43,680 --> 00:23:45,960 Speaker 4: chat that were like, what, what's a white out game? 475 00:23:46,320 --> 00:23:49,119 Speaker 4: And so basically it's a night game at Penn State. 476 00:23:49,480 --> 00:23:52,320 Speaker 4: Everybody wears white, like they print up a special white 477 00:23:52,320 --> 00:23:55,160 Speaker 4: T shirt and usually like you see this at Notre Dame, 478 00:23:55,359 --> 00:23:56,000 Speaker 4: like Notre Dame. 479 00:23:55,920 --> 00:23:57,640 Speaker 3: And be like, hey, we're green for the game. 480 00:23:57,760 --> 00:24:02,000 Speaker 4: You get maybe a third to the people wear green. 481 00:24:02,160 --> 00:24:05,000 Speaker 4: At Penn State, everybody's in one hundred percent, All eighty 482 00:24:05,080 --> 00:24:06,760 Speaker 4: thousand people there are wearing white. 483 00:24:07,119 --> 00:24:08,480 Speaker 3: The energy is through the roof. 484 00:24:08,480 --> 00:24:10,520 Speaker 4: It's crazy. It's one of the best things in college football. 485 00:24:10,520 --> 00:24:13,359 Speaker 4: So yes, I can confirm this Saturday's game Oregon at 486 00:24:13,400 --> 00:24:15,520 Speaker 4: Penn State is officially a whiteout game. 487 00:24:15,760 --> 00:24:16,320 Speaker 1: Go Ducks. 488 00:24:17,000 --> 00:24:18,680 Speaker 3: Yeah, I take a pull of fort take a pullet 489 00:24:18,720 --> 00:24:20,959 Speaker 3: for Oregon too. Yeah. So, but it'll be great no 490 00:24:21,000 --> 00:24:22,480 Speaker 3: matter what, It's gonna be a great environment. 491 00:24:22,800 --> 00:24:27,880 Speaker 1: Taiwan's officials have announced a deal with the United States. 492 00:24:27,960 --> 00:24:32,680 Speaker 1: They plan to buy ten billion dollars of US farm products, 493 00:24:32,840 --> 00:24:37,080 Speaker 1: and that does include some Indiana crops. This is to 494 00:24:38,200 --> 00:24:43,520 Speaker 1: booster Taiwan's food security. Governor Mike Brown hosted the Deputy 495 00:24:43,600 --> 00:24:47,680 Speaker 1: Minister of Agriculture and also some industry reps for a 496 00:24:48,000 --> 00:24:52,480 Speaker 1: ceremonial signing at the state House. Taiwan agreed to purchase 497 00:24:52,520 --> 00:24:56,280 Speaker 1: ten point four billion dollars worth of US agricultural products 498 00:24:56,680 --> 00:24:59,680 Speaker 1: three billion in soybeans, two billion in corn, two point 499 00:24:59,720 --> 00:25:03,120 Speaker 1: eight three rebillion in beef, one point three billion in wheat. 500 00:25:03,440 --> 00:25:05,560 Speaker 1: Of course, the soybeans and corn they're going to come 501 00:25:05,600 --> 00:25:10,879 Speaker 1: from Indiana, Ohio and also Arkansas. Now the state specific 502 00:25:10,960 --> 00:25:16,960 Speaker 1: totals for Indiana have not been provided. However, the CEO 503 00:25:17,040 --> 00:25:21,080 Speaker 1: of Indiana's Soybean Alliance said the deal is critical as 504 00:25:21,200 --> 00:25:25,760 Speaker 1: farmers face high input costs, also low commodity prices and 505 00:25:25,920 --> 00:25:30,280 Speaker 1: reduce exports to China due to the tariffs. We talked 506 00:25:30,280 --> 00:25:33,800 Speaker 1: about this previously on the show. China refusing to buy 507 00:25:33,880 --> 00:25:38,360 Speaker 1: US soybeans this year in response to tariff policies enacted 508 00:25:38,359 --> 00:25:41,840 Speaker 1: by Donald Trump. China used to buy twenty five billion 509 00:25:41,920 --> 00:25:45,760 Speaker 1: dollars worth of US soybeans, but now they have shifted 510 00:25:46,000 --> 00:25:49,359 Speaker 1: that money over to another country. They're sending it to 511 00:25:49,760 --> 00:25:53,800 Speaker 1: Brazil instead. And Donald Trump came out and he said, yeah, 512 00:25:53,880 --> 00:25:57,480 Speaker 1: he admitted pretty much that farmers are getting screwed by 513 00:25:57,480 --> 00:25:59,760 Speaker 1: the tariffs, and he said, we're going to take some 514 00:25:59,800 --> 00:26:02,000 Speaker 1: of the tariff money that we made and we're going 515 00:26:02,040 --> 00:26:05,520 Speaker 1: to give it to farmers. And now some people are 516 00:26:05,600 --> 00:26:11,080 Speaker 1: upset about that because they don't want the farmers subsidize. 517 00:26:11,160 --> 00:26:14,920 Speaker 4: Look, I don't claim that this is a very complicated situation, 518 00:26:15,280 --> 00:26:17,040 Speaker 4: and I don't claim to be the smartest person in 519 00:26:17,080 --> 00:26:19,480 Speaker 4: the world, but it. 520 00:26:19,440 --> 00:26:22,199 Speaker 3: Does seem like there might be a better way to 521 00:26:22,320 --> 00:26:22,760 Speaker 3: do this. 522 00:26:22,960 --> 00:26:25,800 Speaker 4: I'm not sure what that is, but we raised tariffs 523 00:26:26,080 --> 00:26:29,639 Speaker 4: which hurt farmers. So then we've got a strong armed 524 00:26:29,680 --> 00:26:33,000 Speaker 4: Taiwan into buying ten billion dollars worth of our agriculture. 525 00:26:33,080 --> 00:26:35,440 Speaker 4: I'm sure Taiwan's not doing that out of the goodness 526 00:26:35,520 --> 00:26:38,920 Speaker 4: of their heart that was negotiated. I'm sure we gave 527 00:26:39,080 --> 00:26:42,160 Speaker 4: something to Taiwan in exchange. And now Trump's talking about 528 00:26:42,200 --> 00:26:45,560 Speaker 4: subsidizing farmers to make up for the lack of purchases 529 00:26:45,600 --> 00:26:48,439 Speaker 4: by other countries because of tariffs. Again, I don't know 530 00:26:48,480 --> 00:26:50,520 Speaker 4: what the answer is, but it seems like this is 531 00:26:50,600 --> 00:26:52,240 Speaker 4: kind of a mess and really really sloppy. 532 00:26:52,359 --> 00:26:54,320 Speaker 1: So Indiana was the first US state to form a 533 00:26:54,400 --> 00:26:57,719 Speaker 1: sister state relationship with Taiwan in nineteen seventy nine, and 534 00:26:57,800 --> 00:27:01,480 Speaker 1: former governor's Mitch Daniel and also Eric Holk, they did 535 00:27:01,880 --> 00:27:06,920 Speaker 1: lead some trade delegations to tie Wand speaking of that corn, 536 00:27:06,960 --> 00:27:09,359 Speaker 1: you know what you do with it after you've harvested, 537 00:27:10,240 --> 00:27:10,760 Speaker 1: You put. 538 00:27:10,560 --> 00:27:12,880 Speaker 3: Butter on it and eat it because it's so delicious. 539 00:27:13,040 --> 00:27:15,520 Speaker 1: No, I'm talking about the fields you make A big 540 00:27:15,600 --> 00:27:17,480 Speaker 1: giant corn maze is what you do. 541 00:27:17,640 --> 00:27:20,240 Speaker 3: I do love a corn maze. I love a corn made. 542 00:27:20,480 --> 00:27:23,800 Speaker 4: What a Midwest thing to do to take an entire 543 00:27:23,880 --> 00:27:26,720 Speaker 4: field full of corn and then knock down a bunch 544 00:27:26,800 --> 00:27:28,760 Speaker 4: of it and create some attraction like a corn maze. 545 00:27:28,760 --> 00:27:32,639 Speaker 1: Out Holiday World theme Park in Santa Claus, Indiana, they're 546 00:27:33,119 --> 00:27:37,800 Speaker 1: celebrating fall with a twelve acre corn maze. It's got 547 00:27:37,800 --> 00:27:43,040 Speaker 1: a dinosaur theme in it. Inside the maze two life 548 00:27:43,080 --> 00:27:48,640 Speaker 1: size dinosaurs. One's roaring and breathing with animatronics, and other 549 00:27:48,720 --> 00:27:51,920 Speaker 1: dinosaurs range from baby size to full grown. I don't 550 00:27:51,960 --> 00:27:55,360 Speaker 1: know what the difference is between a baby sized dinosaur 551 00:27:55,400 --> 00:27:58,639 Speaker 1: and a full grown one. I'm assuming it's just much bigger. 552 00:27:58,720 --> 00:28:00,560 Speaker 4: You know, we never did make it to that Caitlin 553 00:28:00,640 --> 00:28:03,120 Speaker 4: Clark corn maze that they put up. Was that last 554 00:28:03,160 --> 00:28:05,760 Speaker 4: year or the year before that person made a corn 555 00:28:05,800 --> 00:28:08,280 Speaker 4: maze dedicated to Caitlin Clark didn't didn't make that one. 556 00:28:08,320 --> 00:28:10,679 Speaker 3: But maybe maybe we'll have to hit the dinosaur corn maze. 557 00:28:10,720 --> 00:28:10,880 Speaker 7: Well. 558 00:28:10,880 --> 00:28:15,240 Speaker 1: We are officially in fall and dry conditions are expected 559 00:28:15,359 --> 00:28:21,480 Speaker 1: around the state until October. No immediate frost concerns, but 560 00:28:21,560 --> 00:28:25,119 Speaker 1: according to the National Weather Service and the Old Farmer's Almanac, 561 00:28:25,560 --> 00:28:31,320 Speaker 1: Indianapolis can expect frost on October sixteenth. Caramel fishers in 562 00:28:31,440 --> 00:28:33,240 Speaker 1: Richmond October fifteenth. 563 00:28:33,480 --> 00:28:34,240 Speaker 3: That's specific. 564 00:28:34,480 --> 00:28:36,160 Speaker 1: I know, they get right down. 565 00:28:36,119 --> 00:28:38,080 Speaker 3: To break out for the suburbs. 566 00:28:38,160 --> 00:28:42,320 Speaker 1: Okay, Yeah, Indiana they say likely to experience above normal 567 00:28:42,360 --> 00:28:48,320 Speaker 1: temperatures this fall, with equal chances for above and below. 568 00:28:48,480 --> 00:28:50,360 Speaker 1: That makes no sense. They say, well, you know, it 569 00:28:50,400 --> 00:28:53,360 Speaker 1: could get really hotter, it could be cold. It's fifty 570 00:28:53,360 --> 00:28:53,840 Speaker 1: to fifty. 571 00:28:55,760 --> 00:28:59,000 Speaker 3: All right, we'll take that to the bank. Okay, it's legit. 572 00:28:59,240 --> 00:29:03,320 Speaker 1: Okay. So did you see William Shatner? He posted something? 573 00:29:03,320 --> 00:29:06,480 Speaker 1: Where did he post that? Was that on Instagram? 574 00:29:07,080 --> 00:29:08,440 Speaker 3: It was either Instagram or Twitter. 575 00:29:08,720 --> 00:29:09,440 Speaker 1: He was on X. 576 00:29:09,520 --> 00:29:09,720 Speaker 3: Yeah. 577 00:29:09,720 --> 00:29:11,120 Speaker 1: I was gonna say he seemed like more of an 578 00:29:11,160 --> 00:29:12,960 Speaker 1: Instagram kind of guy to me, But he did put 579 00:29:12,960 --> 00:29:16,560 Speaker 1: this out on X He said, I overindulged. I thank 580 00:29:16,600 --> 00:29:20,040 Speaker 1: you all for caring, but I'm perfectly fine. So apparently 581 00:29:20,600 --> 00:29:25,160 Speaker 1: William Shatner had he was taken in for some medical care. 582 00:29:25,440 --> 00:29:27,520 Speaker 3: Yeah, he got rushed to the hospital. 583 00:29:27,440 --> 00:29:29,200 Speaker 1: To the hospital because he was wasted. 584 00:29:29,520 --> 00:29:32,840 Speaker 4: Now, granted, the man is ninety four years old and 585 00:29:32,920 --> 00:29:36,440 Speaker 4: a national treasure, but the fact that he came out 586 00:29:36,480 --> 00:29:39,640 Speaker 4: and his first post on Twitter X after this was 587 00:29:40,320 --> 00:29:45,560 Speaker 4: I over indulged. Now, my assumption is that we overindulged 588 00:29:45,600 --> 00:29:48,920 Speaker 4: in alcohol. I guess if you're ninety four, anything you 589 00:29:49,000 --> 00:29:50,520 Speaker 4: over indulge in could. 590 00:29:50,320 --> 00:29:52,800 Speaker 3: Lead to a trip to the emergency room. So maybe 591 00:29:52,880 --> 00:29:53,760 Speaker 3: he just ate, you. 592 00:29:53,720 --> 00:29:56,160 Speaker 4: Know, too much turkey pot pie or something like that, 593 00:29:56,480 --> 00:29:59,200 Speaker 4: or you know, indulged in too much barbecue and had 594 00:29:59,200 --> 00:30:02,440 Speaker 4: some indigestion. But I'm gonna take this as and assume 595 00:30:02,520 --> 00:30:04,600 Speaker 4: that the guy was having a good time and just 596 00:30:04,640 --> 00:30:07,600 Speaker 4: had too many cocktails and then probably just needed some 597 00:30:07,680 --> 00:30:09,520 Speaker 4: hydration and a quick trip to the doctor. 598 00:30:09,600 --> 00:30:13,800 Speaker 1: Okay, So this leads us to William Shatner's cover of 599 00:30:13,960 --> 00:30:18,479 Speaker 1: rocket Man better than Elton John's original. Let's take a listen. 600 00:30:19,120 --> 00:30:27,760 Speaker 3: She packed my bags last night pre flight zero hour. Yeah, 601 00:30:28,920 --> 00:30:32,320 Speaker 3: nine am. He's Captain Kirk. Yeah, he's doing it. Is 602 00:30:32,360 --> 00:30:40,080 Speaker 3: Captain Kirk, and I'm gonna be high the music. 603 00:30:43,440 --> 00:30:46,480 Speaker 1: Okay, now he did the he did another version of it. 604 00:30:46,680 --> 00:30:48,560 Speaker 3: There's multiple multiple. 605 00:30:48,200 --> 00:30:52,320 Speaker 1: Versions of the same Rocketman. This is William Shatner in 606 00:30:52,440 --> 00:30:54,360 Speaker 1: nineteen seventy eight doing it. 607 00:30:54,960 --> 00:31:03,400 Speaker 9: A science understand, Yeah, I'll get it. 608 00:31:01,720 --> 00:31:13,600 Speaker 8: It's a five days rocket, a rocket Man. 609 00:31:14,120 --> 00:31:16,240 Speaker 1: It's a it's a it's a rocket. 610 00:31:16,320 --> 00:31:18,040 Speaker 3: It's a rocket Man. 611 00:31:18,320 --> 00:31:19,800 Speaker 4: Now, you have to keep in mind if you watch 612 00:31:19,840 --> 00:31:23,400 Speaker 4: those videos on YouTube, he's in a tuxedo and he's 613 00:31:23,440 --> 00:31:26,160 Speaker 4: kind of it's it's the classic seventies lounge singer. He's 614 00:31:26,200 --> 00:31:28,640 Speaker 4: kind of leaning forward with a cigarette in his mouth 615 00:31:28,680 --> 00:31:33,920 Speaker 4: while he's singing, I'm a rocket Mann. 616 00:31:34,880 --> 00:31:37,200 Speaker 1: Okay, and that leads us Hammer's going to join us 617 00:31:37,200 --> 00:31:39,600 Speaker 1: in just a sec. But that leads us to this 618 00:31:40,400 --> 00:31:47,760 Speaker 1: the Stewy from Family Guy version, and I think it's called. 619 00:31:47,680 --> 00:31:51,560 Speaker 9: A bee A long long time till touchdown brings me 620 00:31:51,600 --> 00:31:54,440 Speaker 9: around again to find I'm not a man. 621 00:31:54,720 --> 00:31:55,760 Speaker 3: They think I am at home. 622 00:31:56,240 --> 00:31:59,280 Speaker 9: Oh no, no, no no, I'm a. 623 00:31:59,320 --> 00:32:05,760 Speaker 3: Rocket man, rocketman, but fuse out him. 624 00:32:06,160 --> 00:32:08,959 Speaker 1: Well, he's a rocketman in ratings. Jason Hammer joins us 625 00:32:08,960 --> 00:32:17,840 Speaker 1: next on ninety three WIBC again, so it's officially false. 626 00:32:17,880 --> 00:32:21,080 Speaker 1: So you've got the corn mazes, pumpkin patch, going to 627 00:32:21,120 --> 00:32:24,360 Speaker 1: the orchard, getting the cider and the donut, and also 628 00:32:24,880 --> 00:32:28,719 Speaker 1: haunted houses. This is the Kennel and Casey Show. I'm Casey. 629 00:32:28,800 --> 00:32:31,600 Speaker 1: Jim is in for Rob today, but Jason Hammer from 630 00:32:31,640 --> 00:32:34,920 Speaker 1: the number one rated Hammer and Nigel program joins us. 631 00:32:34,960 --> 00:32:36,760 Speaker 1: You're a Rocketman with ratings. 632 00:32:37,200 --> 00:32:41,000 Speaker 9: But I love the Rocketman tributes. By the way, Yeah, fantastic. 633 00:32:41,480 --> 00:32:45,680 Speaker 9: Not only did William Shatner just do that song such justice, 634 00:32:46,760 --> 00:32:49,920 Speaker 9: one could argue that he created the greatest headshot in 635 00:32:49,960 --> 00:32:52,560 Speaker 9: the history of Hollywood. One of my favorite Twitter accounts 636 00:32:52,600 --> 00:32:54,840 Speaker 9: is super seventy Spells. Yeah, and every once in a 637 00:32:54,840 --> 00:32:57,640 Speaker 9: while they'll just show William Shatner's head shot from TJ. 638 00:32:57,760 --> 00:32:59,440 Speaker 3: Hooker and just said the bar has been. 639 00:32:59,360 --> 00:33:03,000 Speaker 1: Sent ninety four years old and had to go to 640 00:33:03,040 --> 00:33:05,240 Speaker 1: the hospital because he overindulged. 641 00:33:05,480 --> 00:33:08,680 Speaker 3: It happens, It happens at any age. 642 00:33:08,800 --> 00:33:11,160 Speaker 9: I want to go back to that list of fall activities, 643 00:33:11,280 --> 00:33:14,680 Speaker 9: right one, I didn't hear pulling the TV outside drinking 644 00:33:14,680 --> 00:33:15,440 Speaker 9: and watching football. 645 00:33:17,480 --> 00:33:19,440 Speaker 3: Is that an Indiana thing? Or is that elsewhere? 646 00:33:19,680 --> 00:33:22,000 Speaker 4: I know it's an Indiana thing. No, it's elsewhere. I've 647 00:33:22,000 --> 00:33:25,120 Speaker 4: seen it elsewhere. In fact, when we were just recently 648 00:33:25,120 --> 00:33:27,720 Speaker 4: in Washington, DC visiting some family had a discussion with 649 00:33:27,760 --> 00:33:30,480 Speaker 4: a family member about where he's going to mount his 650 00:33:30,600 --> 00:33:34,480 Speaker 4: outdoor TV. Okay, by the way, his second outdoor TV. 651 00:33:34,600 --> 00:33:37,160 Speaker 4: He already has one mounted, needed to mount another one. 652 00:33:37,200 --> 00:33:38,720 Speaker 4: So yes, it goes beyond just Indian. 653 00:33:38,800 --> 00:33:41,400 Speaker 3: Okay, like maybe a little fire pit on a fold nine. 654 00:33:41,440 --> 00:33:42,680 Speaker 3: You got the booze flowing. 655 00:33:42,800 --> 00:33:45,680 Speaker 9: You know, the TV's out there watching some college ball, 656 00:33:45,800 --> 00:33:50,000 Speaker 9: NFL whatever. But I again, I'm very pro Haoween. 657 00:33:50,120 --> 00:33:52,080 Speaker 3: You guys know me. I love Halloween. I love the 658 00:33:52,120 --> 00:33:52,920 Speaker 3: month of October. 659 00:33:52,960 --> 00:33:55,040 Speaker 1: Do you decorate the house? Do you do like the web, 660 00:33:55,320 --> 00:33:56,800 Speaker 1: the spider web up the house. 661 00:33:57,040 --> 00:33:58,080 Speaker 3: Do you know my wife? 662 00:33:58,160 --> 00:34:00,880 Speaker 1: Yeah, you have to met the coupon la you go 663 00:34:01,000 --> 00:34:01,560 Speaker 1: all out. 664 00:34:01,720 --> 00:34:05,240 Speaker 9: Oh I'm surprised we haven't decorated already, but no, we 665 00:34:05,360 --> 00:34:08,839 Speaker 9: go all out, man like. If you think Halloween is nuts, 666 00:34:08,840 --> 00:34:12,080 Speaker 9: just wait till Christmas. But the one thing that I'm 667 00:34:12,120 --> 00:34:15,600 Speaker 9: not on board with that I never have been haunted. 668 00:34:15,320 --> 00:34:16,360 Speaker 3: Houses me either. 669 00:34:16,640 --> 00:34:20,359 Speaker 9: I've never found the joy of going through somewhere where 670 00:34:20,400 --> 00:34:23,839 Speaker 9: I can't see and having someone scare the crap out 671 00:34:23,840 --> 00:34:25,919 Speaker 9: of me Like that seems like something that I try 672 00:34:25,960 --> 00:34:28,080 Speaker 9: to avoid on the streets of Indianapolis. 673 00:34:28,239 --> 00:34:31,000 Speaker 3: Why would I want to pay take somewhere to. 674 00:34:31,000 --> 00:34:33,319 Speaker 4: Do that, right, especially because I mean, if I go 675 00:34:33,440 --> 00:34:34,719 Speaker 4: and it's been a long time, so I've been through 676 00:34:34,719 --> 00:34:36,840 Speaker 4: a haunted house, but the way I scream like a 677 00:34:36,840 --> 00:34:39,320 Speaker 4: little girl not very manly. 678 00:34:39,480 --> 00:34:41,200 Speaker 3: So I don't need to see that. No one else 679 00:34:41,239 --> 00:34:43,160 Speaker 3: needs to see that. I'm with you. I stay away. 680 00:34:43,320 --> 00:34:45,799 Speaker 9: If I want to walk down somewhere that's poorly lit 681 00:34:45,840 --> 00:34:48,080 Speaker 9: and somebody's coming out to try to hurt me, I'll 682 00:34:48,080 --> 00:34:52,120 Speaker 9: walk down the alley that right here on the circle. 683 00:34:52,280 --> 00:34:57,480 Speaker 4: Haunted alley right studio blood like growing up on the 684 00:34:57,520 --> 00:34:58,160 Speaker 4: south Side. 685 00:34:58,400 --> 00:35:02,200 Speaker 3: We had a nightmare on Edgewood. You know, Hannah haunted acres. 686 00:35:02,239 --> 00:35:02,920 Speaker 3: What's a big thing. 687 00:35:03,239 --> 00:35:05,520 Speaker 9: So, you know, go on dates, go with groups to 688 00:35:05,560 --> 00:35:07,759 Speaker 9: these haunted houses. All the little chicks, let's go to 689 00:35:07,800 --> 00:35:10,960 Speaker 9: the haunted house. Okay, it's fine, and they're clinging on 690 00:35:11,480 --> 00:35:14,040 Speaker 9: and that's fine. But then when some dude jumps out 691 00:35:14,080 --> 00:35:16,640 Speaker 9: that smells like brute cologne and he's got a sche 692 00:35:16,840 --> 00:35:20,000 Speaker 9: mask on or adjacent mask and a fake weapon. 693 00:35:20,239 --> 00:35:21,280 Speaker 3: It's crank repellent. 694 00:35:22,080 --> 00:35:25,239 Speaker 9: It is all the work that I've been doing to 695 00:35:25,320 --> 00:35:27,400 Speaker 9: get this chick into the dark, and you know, have 696 00:35:27,520 --> 00:35:29,520 Speaker 9: some and that just takes it away. 697 00:35:30,080 --> 00:35:33,480 Speaker 4: Everything curls up into me like a scare turtle. But 698 00:35:33,560 --> 00:35:36,040 Speaker 4: I like but as I've gotten older, I'm comfortable. Hey, 699 00:35:36,120 --> 00:35:38,400 Speaker 4: I don't like this, but I'm happy for others who do. 700 00:35:38,800 --> 00:35:41,040 Speaker 4: It's just not for me, just not min They make 701 00:35:41,160 --> 00:35:44,279 Speaker 4: all the money they can. Like there's one across the 702 00:35:44,320 --> 00:35:45,920 Speaker 4: country and I can't think of which one. It is 703 00:35:46,160 --> 00:35:48,600 Speaker 4: like you have to sign a medical waiver. Wow, and 704 00:35:48,680 --> 00:35:50,440 Speaker 4: like they actually touch. 705 00:35:50,239 --> 00:35:55,520 Speaker 1: You and do stuff, and like, no, if you have 706 00:35:55,600 --> 00:35:58,080 Speaker 1: to sign a paper saying I'm not going to sue you, 707 00:35:58,920 --> 00:36:00,719 Speaker 1: is that really, why do in this. 708 00:36:00,920 --> 00:36:03,000 Speaker 9: Right again, If I'm going to sign a paper for 709 00:36:03,080 --> 00:36:05,000 Speaker 9: somebody saying it's I'm not gonna get sued. 710 00:36:04,760 --> 00:36:07,279 Speaker 3: I'm doing it with a prostitute. The Last Haunted House, 711 00:36:07,719 --> 00:36:08,439 Speaker 3: we thank you. 712 00:36:09,239 --> 00:36:12,279 Speaker 9: Wait for somebody to responded that it's like I'm working 713 00:36:12,320 --> 00:36:12,800 Speaker 9: with Nigel. 714 00:36:12,840 --> 00:36:14,920 Speaker 3: I just got nothing. I got no soult. The Last 715 00:36:14,920 --> 00:36:16,000 Speaker 3: Haunted House we went to. 716 00:36:16,480 --> 00:36:19,319 Speaker 4: At the end of it, somebody chased us out of 717 00:36:19,520 --> 00:36:22,719 Speaker 4: a out of the Haunted House like leather Face from 718 00:36:22,760 --> 00:36:26,440 Speaker 4: Texas Chainsaw Masacre, but they had an actual chainsaw running. 719 00:36:26,440 --> 00:36:28,360 Speaker 3: Now the chain wasn't on it, so there's no danger. 720 00:36:28,360 --> 00:36:28,839 Speaker 3: But it's just. 721 00:36:29,000 --> 00:36:32,960 Speaker 4: Loved literally chasing you out of the Haunted house. 722 00:36:33,239 --> 00:36:35,880 Speaker 1: Thank you. That is I don't know, even like scary movies, 723 00:36:35,880 --> 00:36:37,000 Speaker 1: I don't want to see it in person. 724 00:36:37,080 --> 00:36:40,239 Speaker 9: It's not my thing thing. So but a lot of 725 00:36:40,280 --> 00:36:42,000 Speaker 9: people love these. Yes, they make a lot of money. 726 00:36:42,040 --> 00:36:44,080 Speaker 9: So here's an idea that I just thought of. Maybe 727 00:36:44,080 --> 00:36:47,200 Speaker 9: you guys can be initial backers in this process. Hammer 728 00:36:47,239 --> 00:36:51,080 Speaker 9: and Nigel Productions presents Hammer and Nigel's Haunted House where 729 00:36:51,120 --> 00:36:53,040 Speaker 9: everybody in there is dressed like a member of the 730 00:36:53,120 --> 00:36:57,920 Speaker 9: view or Nancy Pelosi, Yes and her husband's in there 731 00:36:57,920 --> 00:37:00,680 Speaker 9: in his underpants and some guy with a hammer shows 732 00:37:00,719 --> 00:37:02,960 Speaker 9: up on it. It'll wasting you around and they're trying 733 00:37:03,000 --> 00:37:04,400 Speaker 9: to do insider trading with you. 734 00:37:04,760 --> 00:37:07,360 Speaker 1: The political Haunted House. What do you have coming up today? 735 00:37:07,880 --> 00:37:11,319 Speaker 9: It's Beer sample Friday. We're gonna have some bargaments and 736 00:37:11,440 --> 00:37:12,880 Speaker 9: uh Comby's indicted. 737 00:37:13,000 --> 00:37:15,239 Speaker 3: We got the biggest stories in indie. Let's have a day. 738 00:37:15,280 --> 00:37:17,920 Speaker 1: Thanks hammer. It is The Kennelly Casey Show. It's ninety 739 00:37:17,960 --> 00:37:19,360 Speaker 1: three w ib C.